MCP vs API: what’s the difference?

APIs have been the backbone of software-to-software communication for decades. Now, a new player — the Model Context Protocol (MCP) — is emerging as an AI-native protocol designed for agents, IDEs, and LLMs.

API (Application Programming Interface):

Purpose: Enables software-to-software communication.
Discovery: Requires documentation.
Standardization: Varies — REST, GraphQL, gRPC, etc.

MCP (Model Context Protocol):

Purpose: Enables AI-native communication between clients (agents, IDEs, LLMs) and servers.
Discovery: Self-describing (no external docs needed).
Standardization: One uniform protocol for resources, tools, and prompts.

Over to you: Do you think MCP will complement APIs or eventually replace them in AI-driven systems?

Author

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